This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see iSEE.
Bioconductor version: 3.15
Create an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects, including row- and column-level metadata. The interface supports transmission of selections between plots and tables, code tracking, interactive tours, interactive or programmatic initialization, preservation of app state, and extensibility to new panel types via S4 classes. Special attention is given to single-cell data in a SingleCellExperiment object with visualization of dimensionality reduction results.
Author: Kevin Rue-Albrecht [aut, cre] , Federico Marini [aut] , Charlotte Soneson [aut] , Aaron Lun [aut]
Maintainer: Kevin Rue-Albrecht <kevinrue67 at gmail.com>
Citation (from within R,
enter citation("iSEE")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iSEE")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iSEE")
HTML | R Script | 1. The iSEE User's Guide |
HTML | R Script | 2. Sharing information across panels |
HTML | R Script | 3. Configuring iSEE apps |
HTML | R Script | 4. The ExperimentColorMap Class |
HTML | R Script | 5. Deploying custom panels |
HTML | R Script | 6. Using iSEE with big data |
HTML | R Script | 7. Speech recognition |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | CellBasedAssays, Clustering, DimensionReduction, FeatureExtraction, GUI, GeneExpression, ImmunoOncology, SingleCell, Software, Transcription, Transcriptomics, Visualization |
Version | 2.8.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (4.5 years) |
License | MIT + file LICENSE |
Depends | SummarizedExperiment, SingleCellExperiment |
Imports | methods, BiocGenerics, S4Vectors, utils, stats, shiny, shinydashboard, shinyAce, shinyjs, DT, rintrojs, ggplot2, ggrepel, colourpicker, igraph, vipor, mgcv, graphics, grDevices, viridisLite, shinyWidgets, ComplexHeatmap, circlize, grid |
LinkingTo | |
Suggests | testthat, BiocStyle, knitr, rmarkdown, scRNAseq, TENxPBMCData, scater, DelayedArray, HDF5Array, RColorBrewer, viridis, htmltools |
SystemRequirements | |
Enhances | |
URL | https://github.com/iSEE/iSEE |
BugReports | https://github.com/iSEE/iSEE/issues |
Depends On Me | iSEEu |
Imports Me | |
Suggests Me | DuoClustering2018, HCAData, schex, TabulaMurisData, TabulaMurisSenisData |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iSEE_2.8.0.tar.gz |
Windows Binary | iSEE_2.8.0.zip (64-bit only) |
macOS Binary (x86_64) | iSEE_2.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iSEE |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iSEE |
Package Short Url | https://bioconductor.org/packages/iSEE/ |
Package Downloads Report | Download Stats |
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